Shilling Recommender Systems by Generating Side-feature-aware Fake User Profiles

arXiv:2509.17918 · cs.IR, cs.LG · Submitted 2025-09-22 · Read on arXiv

cs.IR, cs.LG

Submitted: 2025-09-22

Updated: 2026-08-29

Code: https://github.com/XMUDM/ShillingAttack

Terminology

• AUROC — 15× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Ablation Studies — 3× in this paper · explained in 1 episode
• Adversarial Training — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Meta-learning — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• ECOD Empirical Cumulative Distribution-based Outlier Detection — 1× in this paper
• Embeddings — 1× in this paper · explained in 2 episodes
• FAP Fraudulent Account Propagation — 1× in this paper
• Federated Learning — 1× in this paper · explained in 15 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Singular Value Decomposition (SVD) — 1× in this paper · explained in 2 episodes
• Total Variation Distance — 1× in this paper
• Unified Framework — 1× in this paper · explained in 5 episodes
• Variational Autoencoder (VAE) — 1× in this paper · explained in 3 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• A Comprehensive Survey on Trustworthy Recommender Systems
• Auto-Encoding Variational Bayes
• Spectral Normalization for Generative Adversarial Networks
• cGANs with Projection Discriminator
• Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios
• Retrieval-Augmented Review Generation for Poisoning Recommender Systems

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